BolgVox: Learning Sentiment Classifiers

Performing sentiment analysis upon a topic, specified by key words, without prior knowledge about the key words is a difficult task. With the growth of the blogosphere researchers, corporations, and politicians, among others are very interested in applying sentiment detection to blogs. To accommodate the demands from myriad users, with similarly diverse desires, a sentiment analysis engine for blogs must discover domain specific features relevant to queries in order to accurately assess the sentiment of blogs. Using meta-learning upon the results of web searches, as BlogVox does, can accomplish this goal
Date: April 10, 2007
Type: InProceedings
Volume: 22
Number: 1888
Pages: 2
Publisher: Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press; 1999
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Bibtex


@InProceedings{BolgVox_Learning_Sentiment_Classifiers,
  author = "Justin Martineau and Akshay Java and Pranam Kolari and Tim Finin and Anupam Joshi and James Mayfield",
  title = "{BolgVox: Learning Sentiment Classifiers}",
  month = "April",
  year = "2007",
  pages = "2",
  number = "1888",
  volume = "22",
  publisher = "Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press; 1999",
}